Processors

Decoding How NVIDIA AI Workbench Powers App Development

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Free tool lets developers experiment with, test and prototype AI applications. Editor’s note: This post is part of the AI Decoded series, which demystifies AI by making the technology more accessible and showcases new hardware, software, tools […]

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“Implementing Transformer Neural Networks for Visual Perception on Embedded Devices,” a Presentation from VeriSilicon

Shang-Hung Lin, Vice President of Neural Processing Products at VeriSilicon, presents the “Implementing Transformer Neural Networks for Visual Perception on Embedded Devices” tutorial at the May 2024 Embedded Vision Summit. Transformers are a class of neural network models originally designed for natural language processing. Transformers are also powerful for visual perception due to their ability

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Ceva Extends its Smart Edge IP Leadership, Adding New TinyML Optimized NPUs for AIoT Devices to Enable Edge AI Everywhere

Ceva-NeuPro-Nano NPUs deliver optimal balance of ultra-low power and best performance in small area to efficiently execute TinyML workloads in consumer, industrial and general-purpose AIoT products Ceva-NeuPro Studio complete AI SDK for the Ceva-NeuPro NPU family supports open AI frameworks including TensorFlow Lite for Microcontrollers and microTVM to simplify the rapid development of TinyML enabled

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Expedera’s Packet-based AI Processing Architecture: An Introduction

This blog post was originally published at Expedera’s website. It is reprinted here with the permission of Expedera. Most NPUs available today are not actually optimized for AI processing. Rather, they are variations of former CPU, GPU, or DSP designs. Every neural network has varying processing and memory requirements and offers unique processing challenges that

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“Efficiency Unleashed: The Next-gen NXP i.MX 95 Applications Processor for Embedded Vision,” a Presentation from NXP Semiconductors

James Prior, Senior Product Manager at NXP Semiconductors, presents the “Efficiency Unleashed: The Next-gen NXP i.MX 95 Applications Processor for Embedded Vision” tutorial at the May 2024 Embedded Vision Summit. Machine vision is the most obvious way to help humans live better, enabling hundreds of applications spanning security, monitoring, inspection and more. Modern edge processors

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Computing and AI for Automotive: Toward Centralization and Connectivity

This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. Chiplets for ADAS & infotainment take off with centralization trends. OUTLINE The ADAS and infotainment processors market, worth US$7.8 billion in 2023, is expected to reach US$16.4 billion by 2029, with a

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Modernizing Automotive Interfaces

This blog post was originally published at Avnet’s website. It is reprinted here with the permission of Avnet. The MCU is a low-power, flexible and highly integrated device. It has inspired many peripherals, from clocks to timers, as well as data conversion and power management. Most MCUs incorporate plenty of general-purpose interfaces (GPIO), along with

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Understanding What the Machines See: State-of-the-art Computer Vision at CVPR 2024

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Qualcomm’s accepted papers, demos and workshops at CVPR 2024 showcase the future of generative AI and perception The Computer Vision and Pattern Recognition Conference (CVPR) 2024 begins on Monday, June 17, and Qualcomm Technologies is excited to

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“Image Signal Processing Optimization for Object Detection,” a Presentation from Nextchip

Young-Jun Yoo, Executive Vice President at Nextchip, presents the “Image Signal Processing Optimization for Object Detection” tutorial at the May 2024 Embedded Vision Summit. This talk delves into the challenges and optimization strategies in image signal processing (ISP) for enhancing object detection in advanced driver-assistance systems (ADAS). Through real-world examples, Yoo explores the critical role

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“Squeezing the Last Milliwatt and Cubic Millimeter from Smart Cameras Using the Latest FPGAs and DRAMs,” a Presentation from Lattice Semiconductor and Etron Technology America

Hussein Osman, Segment Marketing Director at Lattice Semiconductor, and Richard Crisp, Vice President and Chief Scientist at Etron Technology America, co-presents the “Squeezing the Last Milliwatt and Cubic Millimeter from Smart Cameras Using the Latest FPGAs and DRAMs” tutorial at the May 2024 Embedded Vision Summit. Attaining the lowest power, size and cost for a

“Squeezing the Last Milliwatt and Cubic Millimeter from Smart Cameras Using the Latest FPGAs and DRAMs,” a Presentation from Lattice Semiconductor and Etron Technology America Read More +

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